US8068566B2 - Unified multi-mode receiver detector - Google Patents
Unified multi-mode receiver detector Download PDFInfo
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- US8068566B2 US8068566B2 US11/888,228 US88822807A US8068566B2 US 8068566 B2 US8068566 B2 US 8068566B2 US 88822807 A US88822807 A US 88822807A US 8068566 B2 US8068566 B2 US 8068566B2
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- 238000001514 detection method Methods 0.000 claims abstract description 33
- 238000007476 Maximum Likelihood Methods 0.000 claims abstract description 11
- 239000013598 vector Substances 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/0001—Arrangements for dividing the transmission path
- H04L5/0014—Three-dimensional division
- H04L5/0023—Time-frequency-space
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0045—Arrangements at the receiver end
- H04L1/0054—Maximum-likelihood or sequential decoding, e.g. Viterbi, Fano, ZJ algorithms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
- H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
- H04L1/0618—Space-time coding
- H04L1/0631—Receiver arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
- H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
- H04L1/0618—Space-time coding
- H04L1/0637—Properties of the code
- H04L1/0643—Properties of the code block codes
Definitions
- Wireless network including wireless metropolitan area networks (WMAN) such as those compliant with the IEEE standard 802.16.x (WiMAX), may use multiple antennas on the transmitters and receivers, referred to as Multiple-Input Multiple-Output (MIMO), to communicate in order cancel interference from adjacent cells.
- Wireless networks may communicate using Orthogonal Frequency Division Multiplexing (OFDM) signaling.
- OFDM Orthogonal Frequency Division Multiplexing
- An OFDM signal is comprised of multiple sub-carriers each modulated at a symbol rate equal to the reciprocal of the frequency separation.
- MIMO schemes are often implemented with OFDM signaling as OFDM provides for easy characterizing of channel frequency response.
- a wireless MIMO receiver may operate in a spatial (de)multiplexing (SM) mode to estimate the transmitted signal.
- SM spatial
- STBC space-time block
- the MIMO receiver scheme may switch between SM and STBC modes (detection modes) and/or may adapt the number of received sub-streams (RF chains) depending on the operating power mode and channel conditions.
- the MIMO receiver may need to switch between the detection modes with minimum latency.
- the MIMO receivers may include a plurality of different detectors (e.g., maximum ratio combining (MRC), minimum mean squared error (MMSE), maximum likelihood (ML)) to account for the different MIMO modes.
- the appropriate detector may be enabled based on the spatial operational MIMO mode. Having multiple MIMO detectors requires silicon area for each detector and may require complicated data interfaces.
- FIG. 1 illustrates an example MIMO system, according to one embodiment
- FIG. 2 illustrates a table of example discrete simplified soft output ML detector (SMLD) operations, according to one embodiment
- FIG. 3 defines a table of column vectors of received data (r) and channel frequency response matrix (h) for each of the various MIMO configurations/detection modes, according to one embodiment
- FIG. 4 illustrates a table indicating which operations are required for the various MIMO configurations/detection modes, according to one embodiment.
- FIG. 1 illustrates an example MIMO system.
- the system includes 2 transmitter antennas (Tx 1 , Tx 2 ) and two receiver antennas (Rx 1 , Rx 2 ).
- Tx 1 , Tx 2 transmit signals s 1 , s 2 respectively to both Rx 1 and Rx 2 via an associated channel matrix (h 11 , h 12 , h 21 , h 22 ).
- the received signals r 1 , r 2 are equal to the associated channel matrix multiplied by the associated transmitted signals plus noise.
- Rx 1 and Rx 2 are connected to a detector that estimates the transmitted signals from the received signals.
- a controller may control the operation of the detector.
- Maximum likelihood detectors can be used in spatial (de)multiplexing (SM) mode to estimate the transmitted signal from the received signal.
- the MLD compares the received signal with all possible transmitted signals and estimates s according to its closest match.
- the MLD may also deliver the reliability values associated the most likely transmitted signal, which are known as soft-decision or Log-likelihood ratio (LLR) outputs.
- LLR Log-likelihood ratio
- the MLD can be simplified by scanning the hypotheses for all transmitting antennas except one, and finding the remaining signal by applying maximum ratio combining (MRC) and slicing.
- MRC maximum ratio combining
- SMLD simplified soft output MLD
- H [h 1 h 2 ]
- the column vectors h 1 and h 2 are the N r x 1 channel gain vectors corresponding to the 2 transmitted signal s 1 and s 2 .
- the SMLD performs SM on a 2 ⁇ Nr MIMO as follows.
- the Euclidean distances d 1 for each s 1 can be calculated as
- the SMLD provides improved packet error rates (PER) for frequency selective channels, especially in presence of mutual interference.
- PER packet error rates
- the SMLD scheme described above for a 2 ⁇ N r MIMO SM mode may be utilized for other detection modes.
- the SMLD framework may be the same for SM and STBC detection modes, the amount of computation that is actually utilized for the STBC MIMO is much less. Dividing the SMLD computations into discrete operations and enabling the appropriate operations based on mode enables a single SMLD to be utilized for both SM and STBC detection modes. Using the SMLD for STBC where computations not required can be skipped makes using SMLD for STBC an efficient option since excess operations will not be performed. Using SMLD for STBC results in improved packet error rates compared to other detectors typically used for STBC (e.g., MRC).
- FIG. 2 illustrates a table of example discrete SMLD computational operations.
- the t parameters e.g., t 1a ,t 2b
- the SMLD may be implemented in hardware (programmable engine, hard coded logic for ASIC), software, firmware or some combination thereof.
- the SMLD may be architected to accommodate bypassing of certain computational operations. This enables a unified implementation for both SM and STBC detection modes (unified detector).
- the number of operations that are activated depends on the MIMO configuration (N t ⁇ N r ) and the detection mode (e.g., SM, STBC).
- the detection mode e.g., SM, STBC
- WiMax OFDM access systems may have between 1-2 transmitters and 1-3 receivers.
- the MIMO systems (2 ⁇ 2, 2 ⁇ 3) may be operated in either SM or STBC detection mode.
- a controller within the MIMO receiver can set the SMLD for the appropriate configuration.
- FIG. 3 illustrates a table of the transposed column vectors r T , h 1 T and h 2 T for each of the various MIMO configurations/operational modes.
- the initial operation of the SMLD is to extract these column vectors so that the other computations can be performed. It should be noted that there is no h 2 T value for MIMO systems having a single transmitter (Single-Input Multiple-Output (SIMO) or Single-Input Single-Output (SISO)).
- SIMO Single-Input Multiple-Output
- SISO Single-Input Single-Output
- FIG. 4 illustrates a table indicating which operations are required for the various MIMO configurations/detection modes.
- the MIMO systems operating in SM mode (2 ⁇ 2 SM, 2 ⁇ 3 SM) require all of the operations.
- the MIMO systems operating in STBC mode (2 ⁇ 2 STBC, 2 ⁇ 3 STBC, 1 ⁇ 3 STBC) may skip operations 3, 4, 6, 8, 9, 11 and 13.
- the SIMO systems (1 ⁇ 2 SIMO, 1 ⁇ 3 SIMO) and the SISO system may additionally skip operations 12 and 15.
- the unified SMLD eliminates the need for multiple detector engines in the receiver. This may reduce the die area used for detectors and may simplify the control structure.
- the unified SMLD would have high (e.g., 100%) utilization and would require only a single data interface.
- the unified SMLD may also lower power consumption.
- the unified detector has been described with respect to an SMLD detector and SM and STBC detection modes but is not limited thereto. Rather, other type of detectors now known or later discovered may be utilized if the computational operations can form a common framework for various detection modes and/or MIMO configurations in which the computational operations performed are based on some combination of detection modes and MIMO configuration.
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Abstract
Description
s 2s(r,s 1)=slice{(∥h 2∥2)−1 h 2 H r−(∥h 2∥2)−1 h 2 H h 1 s 1} (Equation 1A)
d 1+ ={d 1 }| b
LLR(b i)|s1=min{d 1+}−min{d 1−} (Equation 4A)
s 1s(r,s 1)=slice{(∥h 1∥2)−1 h 1 H r−(∥h 1∥2)−1 h 1 H h 2 s 2} (Equation 1B)
d 2+ ={d 2}|b
LLR(b i)|s2=min{d 2+}−min{d 2−} (Equation 4B)
s 2s(r,s 1)=slice{(∥h2∥2)−1 h 2 H r}; s 1s(r,s 2)=slice{(∥h1∥2)−1 h 1 H r} (Equations 1C, 1D)
d 1(s,s 2s)=∥r∥ 2 +∥h 1∥2 |s| 2 +∥h 2∥2 |s 2s|2−2 Re{(r H h 1)s}−2 Re{(r H h 2)s 2s}+2 Re{s 1 H(h 1 H h 2)s 2s} (Equation 2C)
d 2(s 1s ,s)=∥r∥ 2 +∥h 1∥2 |s 1s|2 +∥h 2∥2 |s| 2−2 Re{(r H h 1)s 1s}−2 Re{(r H h 2)s}+2 Re{s 1s H(h 1 H h 2)s 2} (Equation 2D)
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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US20090135963A1 (en) * | 2007-11-26 | 2009-05-28 | Samsung Electronics Co., Ltd. | Apparatus and method for adaptive receive signal decoding based on channel variation in communication system |
CN103873411A (en) * | 2012-12-13 | 2014-06-18 | 中兴通讯股份有限公司 | Method and device for maximum likelihood frequency offset estimation based on joint pilot frequency |
Families Citing this family (1)
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CN102832980B (en) * | 2011-06-14 | 2017-10-20 | 中兴通讯股份有限公司 | A kind of Uplink MIMO pattern method for switching between, device and equipment |
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Cited By (3)
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---|---|---|---|---|
US20090135963A1 (en) * | 2007-11-26 | 2009-05-28 | Samsung Electronics Co., Ltd. | Apparatus and method for adaptive receive signal decoding based on channel variation in communication system |
US8379781B2 (en) * | 2007-11-26 | 2013-02-19 | Samsung Electronics Co., Ltd. | Apparatus and method for adaptive receive signal decoding based on channel variation in communication system |
CN103873411A (en) * | 2012-12-13 | 2014-06-18 | 中兴通讯股份有限公司 | Method and device for maximum likelihood frequency offset estimation based on joint pilot frequency |
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